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Data X:
15 044.5 15 082.0 0.9383 98.6 14 944.2 14 772.7 0.9217 98.0 16 754.8 16 083.0 0.9095 106.8 14 254.0 14 272.5 0.8920 96.6 15 454.9 15 223.3 0.8742 100.1 15 644.8 14 897.3 0.8532 107.7 14 568.3 13 062.6 0.8607 91.5 12 520.2 12 603.8 0.9005 97.8 14 803.0 13 629.8 0.9111 107.4 15 873.2 14 421.1 0.9059 117.5 14 755.3 13 978.3 0.8883 105.6 12 875.1 12 927.9 0.8924 97.4 14 291.1 13 429.9 0.8833 99.5 14 205.3 13 470.1 0.8700 98.0 15 859.4 14 785.8 0.8758 104.3 15 258.9 14 292.0 0.8858 100.6 15 498.6 14 308.8 0.9170 101.1 15 106.5 14 013.0 0.9554 103.9 15 023.6 13 240.9 0.9922 96.9 12 083.0 12 153.4 0.9778 95.5 15 761.3 14 289.7 0.9808 108.4 16 943.0 15 669.2 0.9811 117.0 15 070.3 14 169.5 1.0014 103.8 13 659.6 14 569.8 1.0183 100.8 14 768.9 14 469.1 1.0622 110.6 14 725.1 14 264.9 1.0773 104.0 15 998.1 15 320.9 1.0807 112.6 15 370.6 14 433.5 1.0848 107.3 14 956.9 13 691.5 1.1582 98.9 15 469.7 14 194.1 1.1663 109.8 15 101.8 13 519.2 1.1372 104.9 11 703.7 11 857.9 1.1139 102.2 16 283.6 14 615.9 1.1222 123.9 16 726.5 15 643.4 1.1692 124.9 14 968.9 14 077.2 1.1702 112.7 14 861.0 14 887.5 1.2286 121.9 14 583.3 14 159.9 1.2613 100.6 15 305.8 14 643.0 1.2646 104.3 17 903.9 17 192.5 1.2262 120.4 16 379.4 15 386.1 1.1985 107.5 15 420.3 14 287.1 1.2007 102.9 17 870.5 17 526.6 1.2138 125.6 15 912.8 14 497.0 1.2266 107.5 13 866.5 14 398.3 1.2176 108.8 17 823.2 16 629.6 1.2218 128.4 17 872.0 16 670.7 1.2490 121.1 17 420.4 16 614.8 1.2991 119.5 16 704.4 16 869.2 1.3408 128.7 15 991.2 15 663.9 1.3119 108.7 16 583.6 16 359.9 1.3014 105.5 19 123.5 18 447.7 1.3201 119.8 17 838.7 16 889.0 1.2938 111.3 17 209.4 16 505.0 1.2694 110.6 18 586.5 18 320.9 1.2165 120.1 16 258.1 15 052.1 1.2037 97.5 15 141.6 15 699.8 1.2292 107.7 19 202.1 18 135.3 1.2256 127.3 17 746.5 16 768.7 1.2015 117.2 19 090.1 18 883.0 1.1786 119.8 18 040.3 19 021.0 1.1856 116.2
Names of X columns:
uitvoer invoer wisselkoers consumptie
Type of Correlation


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R Code
panel.tau <- function(x, y, digits=2, prefix='', cex.cor) { usr <- par('usr'); on.exit(par(usr)) par(usr = c(0, 1, 0, 1)) rr <- cor.test(x, y, method='kendall') r <- round(rr$p.value,2) txt <- format(c(r, 0.123456789), digits=digits)[1] txt <- paste(prefix, txt, sep='') if(missing(cex.cor)) cex <- 0.5/strwidth(txt) text(0.5, 0.5, txt, cex = cex) } panel.hist <- function(x, ...) { usr <- par('usr'); on.exit(par(usr)) par(usr = c(usr[1:2], 0, 1.5) ) h <- hist(x, plot = FALSE) breaks <- h$breaks; nB <- length(breaks) y <- h$counts; y <- y/max(y) rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...) } bitmap(file='test1.png') pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Kendall tau rank correlations for all pairs of data series',3,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'pair',1,TRUE) a<-table.element(a,'tau',1,TRUE) a<-table.element(a,'p-value',1,TRUE) a<-table.row.end(a) n <- length(y[,1]) n cor.test(y[1,],y[2,],method='kendall') for (i in 1:(n-1)) { for (j in (i+1):n) { a<-table.row.start(a) dum <- paste('tau(',dimnames(t(x))[[2]][i]) dum <- paste(dum,',') dum <- paste(dum,dimnames(t(x))[[2]][j]) dum <- paste(dum,')') a<-table.element(a,dum,header=TRUE) r <- cor.test(y[i,],y[j,],method='kendall') a<-table.element(a,r$estimate) a<-table.element(a,r$p.value) a<-table.row.end(a) } } a<-table.end(a) table.save(a,file='mytable.tab')

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	Big Analytics Cloud Computing Center
R Engine error message	Error in array(list(15, 44.5, 15, 82, 0.9383, 98.6, 14, 944.2, 14, 772.7, : length of 'dimnames' [1] not equal to array extent Execution halted